Research PaperNo Access

A cellular automaton evacuation model based on random fuzzy minimum spanning tree

Qiong Yang

Department of Art and Design, Zhejiang Industry Polytechnic College, Shaoxing Zhejiang 312000, P. R. China

E-mail Address: yq2005@hainan.net

https://doi.org/10.1142/S0129183118500729Cited by:6 (Source: Crossref)

Abstract

To address efficiency and security problem of pedestrian evacuation in indoor space, a cellular automaton evacuation model is proposed based on the random fuzzy minimum spanning tree. First, based on field, crowding coefficient and available path capacity, the model defines the calculation formula of pedestrian movement probability and provides detailed evacuation optimization method and its evolution process. At last, we use the established simulation platform to make computer experiments, analyzing the relation of evacuation time, exit flow rate, exit crowding coefficient and available path capacity in order to obtain more realistic pedestrian flow characteristics. The result has shown that the model has good adaptability.

Keywords:

PACS: 05.50.+q, 05.20.Jj

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References

1. T. Ezaki, D. Yanagisawa, K. Ohtsuka and K. Nishinari, Physica A 391, 2291 (2012). Web of Science, Google Scholar
2. D. R. Parisi, S. A. Soria and R. Josens, Safety Sci. 72, 274 (2015). Web of Science, Google Scholar
3. T. M. Gwizdałła, Physica A 419, 718 (2015). Web of Science, ADS, Google Scholar
4. J. H. Wang, L. Zhang, Q. Y. Shi, P. Yang and X. M. Hu, Physica A 428, 396 (2015). Web of Science, ADS, Google Scholar
5. M. Goerigk, K. Deghdak and V. T’Kindt, Transp. Res. Part B 78, 66 (2015). Web of Science, Google Scholar
6. Z. J. Fu, X. D. Zhou, K. J. Zhu, Y. Q. Chen, Y. F. Zhuang, Y. Q. Hu, L. Z. Yang, C. K. Chen and J. Li, Physica A 420, 294 (2015). Web of Science, ADS, Google Scholar
7. A. Kirchner, K. Nishinari and A. Schadschneider, Phys. Rev. E 67, 056112 (2003). Web of Science, Google Scholar
8. V. J. Blue and J. L. Adler, Transp. Res. Part B 35, 293 (2001). Web of Science, Google Scholar
9. V. Blue and J. Adler, Transp. Res. Rec. 1644, 29 (1998). Web of Science, Google Scholar
10. C. Burstedde, K. Klauck, A. Schadschneider and J. Zittartz, Physica A 295, 507 (2001). Web of Science, ADS, Google Scholar
11. A. Schadschneider, Physica A 1, 142 (2006). Web of Science, ADS, Google Scholar
12. A. Schadschneider, W. Klingsch, H. Kluepfel, T. Kretz, C. Rogsch and A. Seyfried, Evacuation dynamics: Empirical results, modeling and applications, Encyclopedia of Complexity and Systems Science 2009, 3142 (2008). Google Scholar
13. K. K. Huang, Y. Cheng, X. P. Zheng and Y. Q. Yang, Chaos Soliton. Fract. 80, 90 (2015). Web of Science, ADS, Google Scholar
14. T. Nagatani, Appl. Math. Model. 36, 702 (2012). Web of Science, Google Scholar
15. T. Nagatani, Phys. Lett. A 374, 1686 (2010). Web of Science, ADS, Google Scholar
16. G. Y. Wu and H. C. Huang, Safety Sci. 73, 62 (2015). Web of Science, Google Scholar
17. D. W. Li and B. M. Han, Safety Sci. 80, 41 (2015). Web of Science, Google Scholar
18. T. Q. Tang, L. Chen, R. Y. Guo and H. Y. Shang, Physica A 440, 49 (2015). Web of Science, ADS, Google Scholar
19. M. J. Seitz and G. Köster, Phys. Rev. E 86, 1 (2012). Web of Science, Google Scholar
20. K. Adrien and D. B. Wilson, Phys. Rev. E 93, 062121 (2016). Web of Science, Google Scholar
21. P. Emmanuel, Methods Ecol. Evol. 9, 1308 (2018). Web of Science, Google Scholar